Day One - Collecing DC Housing Date
Objective
You will collect housing data from two DC neighborhoods of your chole.
Directions
You will be collecting statistical data in order to study neighborhoods of your own choosing veltineed to collect quantitative and tact corical data for at least 5 DC houses in which you are interested in two different neighborhoods. Use zillow.com and complete the table below.
Neighborhood 1:,
Neighborhood 2:
Address
2005 Tax assessment,
2015 Tax
Assessment, square
Footage,year built, Type of
House, Exterior
Day Two - Visualizing Your Data
Objective
You will develop visual tools to represent your data. These visual tools may include pie charts, histograms, and frequency tables.
Directions
Objective
You will develop visual tools to represent your data. These visual tools may include pie charts, histograms, and frequency tables.
Directions
Now that you have gathered a reasonable amount of data on two DC neighborhoods, it is time to engage , it is time to engage in some analysis. You will develop frequency tables, bar graphs, and pie charts for one of the qualitative variables of your choice (House Type or Exterior Material).
A. Creating Histograms
You will need to create 6 histograms, 3 for each neighborhood. https://www.meta-chart.com/
Neighborhood #1:
2005 Tax Assessment
2015 Tax Assessment
Square Footage.
Neighborhood #2:
2005 Tax Assessment
2015 Tax Assessment
Square Footage.
[Neichborhood 1
Histogram 1: 2005 Tax.
Assessment
Histogram 2: 2015 Tax
Assessment
Histogram 3: Square Footage
Neighborhood
Histogram 4: 2005 Tax
Assessment
Histogram 5: 2015 Tax
Assessment
Histogram 6: Square Footage
NOTE: For each histogram, determine the shape of the distribution and explain your reasoning. The distribution can be normal, left skewed, right skewed, bi-modal, or flat. Add descriptions in table above.
4 boxes each
Calculating Frequencies
Frequency Table Neighborhood #1:.
House Typ
Frequency
Relative Frequency
Percent
Frequency Table Neighborhood #2:
Frequency
House Type
Relative Frequency
Percent
A frequency is the number of times a given data point occurs in a data set. According to the table above, you are looking for the frequency of each house type (e.g., single family home, condo, multifamily). The total of the frequency column represents the total number of homes included in the sample.
A relative frequencyis the fraction or proportion of times an answer occurs. To find the relative
frequencies, divide each frequency by the total number of homes in the sample. You will write your relative frequencies as percentages.
C.
Creating Bar Graphs single.html
Bar graph
Neighborhood #1:
Multi family,condo,single family
Neighborhood #2:
Multi family,condo,single family
Create Pie Chart https://www.meta-chart.com/pie
Pie Chart
Neighborhood #1:
Neighborhood #2:
Analysis
write an explanation of what you see in the data. One paragraph should discuss the purpose of the projectand the process it took to complete it. Next 2 paragraphs should compare and contrast the two neighborhoods, make sure to reference the visuals from above. Final paragraph should provide a summary of where you would
live and why.
Day Four - Create Neighborhood Comparison Report
Objective
Today you will compile your housing data and results and design a multimedia presentation of your neighborhood
comparison project.
Directions
You spent the last few days collecting and analyzing qualitative and quantitative data from two neighborhoods of your choice.
Now you will have the chance to construct a refined mathematical report thatdetails the differences and similarities between the two neighborhoods. To do so, you will need to revisit the charts, graphs and calculations you developed and use them to complete you neighborhood project template.
Outline of Report
You will need the following sections in your report.
Section
Details
Title Page
• Title
• Picture of both neighborhoods
• Name, Period, and Date
Introduction
• Purpose of the Project
• Briefly explain how you completed the project and outline the rest of this paper -
• Summarize your conclusion or recommendation
* It is recommended that you complete this section last
Study Methods
• Identify the two neighborhoods
• Identify the locations
• Explain why you chose to study these neighborhoods
• Explain where you found your data
• How did you select the houses in your sample
• What quantitative and categorical data you collected
• Explain your Google Sheet Calculations
Neighborhood #I
Introduction
Describe your neighborhood (Give history on the neighborhood)
• Qualitative Data
• House Type
• Exterior Material
• Include graphs that show exterior material and house types
Keighborhood #1: Analysis
Analyze your quanticative data usingy our histograms, measuresof center and spread:
• Quantitative Data
-House Price
-House Age
-Distribution of Tax Assessment
• Price Differences
-Price per Square Foot
• Include histograms for all quantitative data
Neighborhood #2:
Introduction
Describe your neighborhood (Give history on the neighborhood)
Qualitative Data
• House Type
-Exterior Material
Include graphs that show exterior material and house types
• Include graphs that show exterior material and house types
_ Neighborhood #1: Analysis
Analyze your quantitative data using your histograms, measures of center andspread:
Quantitative Data o House Price.
• House Age
O Distribution of Tax Assessment
• Price Differences
• Price per Square Foot
• Include histograms for all quantitative data
Neighborhood Comparison-
• Explain the similarities between thetwo neighborhoods
Explain how the neighborhoods are similar
Explain the differences between the two neighborhoods
Explain how the neighborhoods are different
Conclusion
• Summarize the results of your data analysis
• How do you feel about the data?
• How can your analysis help change the neighborhoods? I
Day One - Collecing DC Housing Date
Objective
You will collect housing data from two DC neighborhoods of your chole.
Directions
You will be collecting statistical data in order to study neighborhoods of your own choosing veltineed to collect quantitative and tact corical data for at least 5 DC houses in which you are interested in two different neighborhoods. Use zillow.com and complete the table below.
Neighborhood 1:,
Neighborhood 2:
Address
2005 Tax assessment,
2015 Tax
Assessment, square
Footage,year built, Type of
House, Exterior
Day Two - Visualizing Your Data
Objective
You will develop visual tools to represent your data. These visual tools may include pie charts, histograms, and frequency tables.
Directions
Objective
You will develop visual tools to represent your data. These visual tools may include pie charts, histograms, and frequency tables.
Directions
Now that you have gathered a reasonable amount of data on two DC neighborhoods, it is time to engage , it is time to engage in some analysis. You will develop frequency tables, bar graphs, and pie charts for one of the qualitative variables of your choice (House Type or Exterior Material).
A. Creating Histograms
You will need to create 6 histograms, 3 for each neighborhood. https://www.meta-chart.com/
Neighborhood #1:
2005 Tax Assessment
2015 Tax Assessment
Square Footage.
Neighborhood #2:
2005 Tax Assessment
2015 Tax Assessment
Square Footage.
[Neichborhood 1
Histogram 1: 2005 Tax.
Assessment
Histogram 2: 2015 Tax
Assessment
Histogram 3: Square Footage
Neighborhood
Histogram 4: 2005 Tax
Assessment
Histogram 5: 2015 Tax
Assessment
Histogram 6: Square Footage
NOTE: For each histogram, determine the shape of the distribution and explain your reasoning. The distribution can be normal, left skewed, right skewed, bi-modal, or flat. Add descriptions in table above.
4 boxes each
Calculating Frequencies
Frequency Table Neighborhood #1:.
House Typ
Frequency
Relative Frequency
Percent
Frequency Table Neighborhood #2:
Frequency
House Type
Relative Frequency
Percent
A frequency is the number of times a given data point occurs in a data set. According to the table above, you are looking for the frequency of each house type (e.g., single family home, condo, multifamily). The total of the frequency column represents the total number of homes included in the sample.
A relative frequencyis the fraction or proportion of times an answer occurs. To find the relative
frequencies, divide each frequency by the total number of homes in the sample. You will write your relative frequencies as percentages.
C.
Creating Bar Graphs single.html
Bar graph
Neighborhood #1:
Multi family,condo,single family
Neighborhood #2:
Multi family,condo,single family
Create Pie Chart https://www.meta-chart.com/pie
Pie Chart
Neighborhood #1:
Neighborhood #2:
Analysis
write an explanation of what you see in the data. One paragraph should discuss the purpose of the projectand the process it took to complete it. Next 2 paragraphs should compare and contrast the two neighborhoods, make sure to reference the visuals from above. Final paragraph should provide a summary of where you would
live and why.
Day Four - Create Neighborhood Comparison Report
Objective
Today you will compile your housing data and results and design a multimedia presentation of your neighborhood
comparison project.
Directions
You spent the last few days collecting and analyzing qualitative and quantitative data from two neighborhoods of your choice.
Now you will have the chance to construct a refined mathematical report thatdetails the differences and similarities between the two neighborhoods. To do so, you will need to revisit the charts, graphs and calculations you developed and use them to complete you neighborhood project template.
Outline of Report
You will need the following sections in your report.
Section
Details
Title Page
• Title
• Picture of both neighborhoods
• Name, Period, and Date
Introduction
• Purpose of the Project
• Briefly explain how you completed the project and outline the rest of this paper -
• Summarize your conclusion or recommendation
* It is recommended that you complete this section last
Study Methods
• Identify the two neighborhoods
• Identify the locations
• Explain why you chose to study these neighborhoods
• Explain where you found your data
• How did you select the houses in your sample
• What quantitative and categorical data you collected
• Explain your Google Sheet Calculations
Neighborhood #I
Introduction
Describe your neighborhood (Give history on the neighborhood)
• Qualitative Data
• House Type
• Exterior Material
• Include graphs that show exterior material and house types
Keighborhood #1: Analysis
Analyze your quanticative data usingy our histograms, measuresof center and spread:
• Quantitative Data
-House Price
-House Age
-Distribution of Tax Assessment
• Price Differences
-Price per Square Foot
• Include histograms for all quantitative data
Neighborhood #2:
Introduction
Describe your neighborhood (Give history on the neighborhood)
Qualitative Data
• House Type
-Exterior Material
Include graphs that show exterior material and house types
• Include graphs that show exterior material and house types
_ Neighborhood #1: Analysis
Analyze your quantitative data using your histograms, measures of center andspread:
Quantitative Data o House Price.
• House Age
O Distribution of Tax Assessment
• Price Differences
• Price per Square Foot
• Include histograms for all quantitative data
Neighborhood Comparison-
• Explain the similarities between thetwo neighborhoods
Explain how the neighborhoods are similar
Explain the differences between the two neighborhoods
Explain how the neighborhoods are different
Conclusion
• Summarize the results of your data analysis
• How do you feel about the data?
• How can your analysis help change the neighborhoods? I
